A Technology-Based Smoking Cessation Intervention for Foster Youth: Initial Reactions

While nearly one in three foster youth smoke daily, there is minimal screening and treatment in this population. Interventions that are accessible and engaging are needed to help reduce this health disparity. This study tested the feasibility and acceptability of a smoking cessation treatment (iHeLP) delivered via computers and mobile phones among weekly cigarette smokers leaving foster care (ages 18 to 20). After study completion, we interviewed participants from the intervention (n=18) and control (n=17) groups. Interview themes included how participants felt the program worked/did not work, suggested changes, and perceived barriers to quitting. Transcripts were independently coded by two authors. A codebook was developed throughout the coding process, and all transcripts were reviewed again with the final codebook. iHeLP participants felt that the program helped them reflect on their smoking habits and triggers. They also found iHeLP simple, which increased engagement. For some, the messages became an integral aspect of daily living, and most wished the program lasted longer than 6 months. Participants suggested an addition of a monthly chatroom Q&A session with a professional, a cessation counselor, smoking related videos, and peer support specialists. Participants from the control group (who received generic motivational messages) also found the intervention simple and easy to use. Suggestions for change include weekly tracking of cigarette utilization, help identifying smoking triggers, quitting advice, and positive feedback on smoking behavior changes, validating the content of iHeLP. Trends towards FDA approval of technology based smoking interventions offer promising opportunities to reduce smoking rates in this population

Trajectories Of Emotion Regulation Into Middle Childhood: An Investigation Of Attachment, Temperament, And Language

The development of emotion regulation continues to be considered a cornerstone to adaptive child development. However, studies have yet to integrate early relationship, child-centered factors, and socio-demographic factors, from infancy through middle childhood, in an attempt to look at emotional regulation development over time. By utilizing latent growth curve modeling, the current study aimed to extend understanding of how child-centered factors (temperament and language skill) and socio-demographic factors (gender, ethnicity, and family resources) affect the development of emotion regulation from 3rd to 6th grades, within the context of early attachment relationships. Stability in emotion regulation in the general sample, as well as in each attachment style was observed. While no differences among initial levels of emotion regulation or developmental trajectories was found among attachment styles, differential effects were found for child-centered factors and socio-environmental factors. For those evidencing secure and insecure-avoidant attachment, African American children had less emotion regulation difficulty compared to Caucasian children. Additionally, for those securely attached, difficult temperament was positively associated with emotion regulation difficulty while language skill was negatively associated. Finally, for those with secure attachment, gender was predictive of slope, such that boys\u27 emotion regulation difficulties decrease over time compared to girls\u27. Findings suggest potential resilience factors for the general population as well as high-risk youth and highlight the continued importance of considering attachment and child-centered variables, as well as socio-demographic factors when studying emotion regulation

Adolescent Healthcare Contacts in the Year Before Suicide: a case control study

Introduction: Suicide rates among adolescents have risen steadily since 2007, creating a dire need to expand prevention protocols. Healthcare systems have been identified as a key avenue for identification and intervention. To date, no comprehensive analysis has been done to understand adolescent-specific characteristics and healthcare utilization prior to suicide death. Methods: A case-control study was conducted using records from eight healthcare systems nationwide. Data from 450 subjects aged 10-24 who died by suicide between the years 2000-2013 was matched with 4500 controls based on health system and time period of membership. We examined past-year health diagnoses and patterns of visit types and frequency. Results: Adolescents who died by suicide were more likely to have at least one mental health disorder (52% vs 16%), as well as each individual disorder. Physical health disorders were also more likely among this group. Close to half (49%) and nearly all (89%) of youth who died by suicide had a health care visit in the month and year prior to their death, respectively. Outpatient visits were most common, with suicide decedents averaging 8 in the year before death. Conclusion: With nearly half (48%) of adolescents who died by suicide lacking a mental health diagnosis in the year prior to their death, it is no longer sufficient to rely on mental health services to capture at-risk youth. High rates of healthcare utilization among those who died by suicide indicate a strong need for improving identification of youth while they are seeking services, thereby preventing future deaths

Predictors of Alcohol Use after Bariatric Surgery

Patients undergoing bariatric surgery are at risk for devloping an alcohol use disorder (AUD). The purpose of this study was to investigate pre-surgical psychosocial risk factors for post-surgical alcohol consumption and hazardous drinking. Participants (N = 567) who underwent bariatric surgery between 2014 and 2017 reported their post-surgical alcohol use. Information was collected from the pre-surgical evaluation including history of alcohol use, psychiatric symptoms, and maladaptive eating behaviors (i.e., binge eating, purging, and emotional eating). Younger age and pre-surgical alcohol use predicted post-surgical alcohol use and hazardous drinking. In addition, higher levels of depressive symptoms and maladaptive eating patterns predicted post-surgical binge drinking. Clinicians conducting pre-surgical psychosocial evaluations should be aware of the multiple risk factors related to post-surgical problematic alcohol use. Future research should evaluate whether preventive interventions for high-risk patients decrease risk for post-surgical alcohol misuse

Weighing the Association Between BMI Change and Suicide Mortality

OBJECTIVE: Suicide rates continue to rise, necessitating the identification of risk factors. Obesity and suicide mortality rates have been examined, but associations among weight change, death by suicide, and depression among adults in the United States remain unclear. METHODS: Data from 387 people who died by suicide in 2000-2015 with a recorded body mass index (BMI) in the first and second 6 months preceding their death ( index date ) were extracted from the Mental Health Research Network. Each person was matched with five people in a control group (comprising individuals who did not die by suicide) by age, sex, index year, and health care site (N=1,935). RESULTS: People who died by suicide were predominantly male (71%), White (69%), and middle aged (mean age=57 years) and had a depression diagnosis (55%) and chronic health issues (57%) (corresponding results for the control group: 71% male, 66% White, 14% with depression diagnosis, and 43% with chronic health issues; mean age=56 years). Change in BMI within the year before the index date statistically significantly differed between those who died by suicide (mean change=-0.72±2.42 kg/m(2)) and the control group (mean change=0.06±4.99 kg/m(2)) (p\u3c0.001, Cohen\u27s d=0.17). A one-unit BMI decrease was associated with increased risk for suicide after adjustment for demographic characteristics, mental disorders, and Charlson comorbidity score (adjusted odds ratio=1.11, 95% confidence interval=1.05-1.18, p\u3c0.001). For those without depression, a BMI change was significantly associated with suicide (p\u3c0.001). CONCLUSIONS: An increased suicide mortality rate was associated with weight loss in the year before a suicide after analyses accounted for general and mental health indicators

Receipt of medications for opioid use disorder among youth engaged in primary care: data from 6 health systems

PURPOSE: Little is known about prevalence and treatment of OUD among youth engaged in primary care (PC). Medications are the recommended treatment of opioid use disorder (OUD) for adolescents and young adults (youth). This study describes the prevalence of OUD, the prevalence of medication treatment for OUD, and patient characteristics associated with OUD treatment among youth engaged in PC. METHODS: This cross-sectional study includes youth aged 16-25 years engaged in PC. Eligible patients had ≥ 1 PC visit during fiscal years (FY) 2014-2016 in one of 6 health systems across 6 states. Data from electronic health records and insurance claims were used to identify OUD diagnoses, office-based OUD medication treatment, and patient demographic and clinical characteristics in the FY of the first PC visit during the study period. Descriptive analyses were conducted in all youth, and stratified by age (16-17, 18-21, 22-25 years). RESULTS: Among 303,262 eligible youth, 2131 (0.7%) had a documented OUD diagnosis. The prevalence of OUD increased by ascending age groups. About half of youth with OUD had documented depression or anxiety and one third had co-occurring substance use disorders. Receipt of medication for OUD was lowest among youth 16-17 years old (14%) and highest among those aged 22-25 (39%). CONCLUSIONS: In this study of youth engaged in 6 health systems across 6 states, there was low receipt of medication treatment, and high prevalence of other substance use disorders and mental health disorders. These findings indicate an urgent need to increase medication treatment for OUD and to integrate treatment for other substance use and mental health disorders

Baseline representativeness of patients in clinics enrolled in the PRimary care Opioid Use Disorders treatment (PROUD) trial: comparison of trial and non-trial clinics in the same health systems

BACKGROUND: Pragmatic primary care trials aim to test interventions in real world health care settings, but clinics willing and able to participate in trials may not be representative of typical clinics. This analysis compared patients in participating and non-participating clinics from the same health systems at baseline in the PRimary care Opioid Use Disorders treatment (PROUD) trial. METHODS: This observational analysis relied on secondary electronic health record and administrative claims data in 5 of 6 health systems in the PROUD trial. The sample included patients 16-90 years at an eligible primary care visit in the 3 years before randomization. Each system contributed 2 randomized PROUD trial clinics and 4 similarly sized non-trial clinics. We summarized patient characteristics in trial and non-trial clinics in the 2 years before randomization ( baseline ). Using mixed-effect regression models, we compared trial and non-trial clinics on a baseline measure of the primary trial outcome (clinic-level patient-years of opioid use disorder (OUD) treatment, scaled per 10,000 primary care patients seen) and a baseline measure of the secondary trial outcome (patient-level days of acute care utilization among patients with OUD). RESULTS: Patients were generally similar between the 10 trial clinics (n = 248,436) and 20 non-trial clinics (n = 341,130), although trial clinics\u27 patients were slightly younger, more likely to be Hispanic/Latinx, less likely to be white, more likely to have Medicaid/subsidized insurance, and lived in less wealthy neighborhoods. Baseline outcomes did not differ between trial and non-trial clinics: trial clinics had 1.0 more patient-year of OUD treatment per 10,000 patients (95% CI: - 2.9, 5.0) and a 4% higher rate of days of acute care utilization than non-trial clinics (rate ratio: 1.04; 95% CI: 0.76, 1.42). CONCLUSIONS: trial clinics and non-trial clinics were similar regarding most measured patient characteristics, and no differences were observed in baseline measures of trial primary and secondary outcomes. These findings suggest trial clinics were representative of comparably sized clinics within the same health systems. Although results do not reflect generalizability more broadly, this study illustrates an approach to assess representativeness of clinics in future pragmatic primary care trials

Accounting for quality improvement during the conduct of embedded pragmatic clinical trials within healthcare systems: NIH Collaboratory case studies

Embedded pragmatic clinical trials (ePCTs) and quality improvement (QI) activities often occur simultaneously within healthcare systems (HCSs). Embedded PCTs within HCSs are conducted to test interventions and provide evidence that may impact public health, health system operations, and quality of care. They are larger and more broadly generalizable than QI initiatives, and may generate what is considered high-quality evidence for potential use in care and clinical practice guidelines. QI initiatives often co-occur with ePCTs and address the same high-impact health questions, and this co-occurrence may dilute or confound the ability to detect change as a result of the ePCT intervention. During the design, pilot, and conduct phases of the large-scale NIH Collaboratory Demonstration ePCTs, many QI initiatives occurred at the same time within the HCSs. Although the challenges varied across the projects, some common, generalizable strategies and solutions emerged, and we share these as case studies. KEY LESSONS: Study teams often need to monitor, adapt, and respond to QI during design and the course of the trial. Routine collaboration between ePCT researchers and health systems stakeholders throughout the trial can help ensure research and QI are optimally aligned to support high-quality patient-centered care

PRimary Care Opioid Use Disorders treatment (PROUD) trial protocol: a pragmatic, cluster-randomized implementation trial in primary care for opioid use disorder treatment

BACKGROUND: Most people with opioid use disorder (OUD) never receive treatment. Medication treatment of OUD in primary care is recommended as an approach to increase access to care. The PRimary Care Opioid Use Disorders treatment (PROUD) trial tests whether implementation of a collaborative care model (Massachusetts Model) using a nurse care manager (NCM) to support medication treatment of OUD in primary care increases OUD treatment and improves outcomes. Specifically, it tests whether implementation of collaborative care, compared to usual primary care, increases the number of days of medication for OUD (implementation objective) and reduces acute health care utilization (effectiveness objective). The protocol for the PROUD trial is presented here. METHODS: PROUD is a hybrid type III cluster-randomized implementation trial in six health care systems. The intervention consists of three implementation strategies: salary for a full-time NCM, training and technical assistance for the NCM, and requiring that three primary care providers have DEA waivers to prescribe buprenorphine. Within each health system, two primary care clinics are randomized: one to the intervention and one to Usual Primary Care. The sample includes all patients age 16-90 who visited the randomized primary care clinics from 3 years before to 2 years after randomization (anticipated to be \u3e 170,000). Quantitative data are derived from existing health system administrative data, electronic medical records, and/or health insurance claims ( electronic health records, [EHRs]). Anonymous staff surveys, stakeholder debriefs, and observations from site visits, trainings and technical assistance provide qualitative data to assess barriers and facilitators to implementation. The outcome for the implementation objective (primary outcome) is a clinic-level measure of the number of patient days of medication treatment of OUD over the 2 years post-randomization. The patient-level outcome for the effectiveness objective (secondary outcome) is days of acute care utilization [e.g. urgent care, emergency department (ED) and/or hospitalizations] over 2 years post-randomization among patients with documented OUD prior to randomization. DISCUSSION: The PROUD trial provides information for clinical leaders and policy makers regarding potential benefits for patients and health systems of a collaborative care model for management of OUD in primary care, tested in real-world diverse primary care settings